... reliability Drive root-cause analysis and continuous improvement across the AI testing lifecycle Required Skills Core Engineering Strong programming skills in Python familiarity with Bash, TypeScript, or Go Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress Proficiency in CI/CD tools ...
... incident management, post-incident reviews, and continuous reliability improvement , with the ability to influence behavior and standards across teams. Strong automation and scripting skills using Python, Bash, Ansible, or similar tools. Experience building or scaling CI/CD platforms and release automation in high-risk production ...
... data warehouses.- Optimize database performance, SQL queries, and query execution plans.- Develop and maintain solutions using SQL and advanced PL/SQL.- Use Python or PySpark for data processing and pipeline development.- Ensure data quality, governance, security, and compliance standards.- Monitor and troubleshoot data ...
... and cost management. Airflow (Composer): Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow. Programming: Proficiency in Python or Java for data processing, automation, and pipeline development. ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured ...
... STA, Physical Design, Verification, and Silicon teams.- Support DFT signoff, production test requirements, and silicon bring-up/debug.- Develop scripts and automation using TCL, Python, Perl, or Shell where applicable.- For senior/lead roles, drive DFT methodology, architecture, technical reviews, and project https://jobeax.com/link/4VCUI7xIFwM3SD2A ...
... design, build, and scale microservices-based infrastructure that powers next-generation AI systems. You'll own both core backend services and infrastructure automation , ensuring distributed systems are fast, reliable, and secure . This position blends software engineering, DevOps, and system design , working closely with ...
... hands-on experience with SQL Server, including complex queries, stored procedures, data validation, and performance tuning.- Experience with scripting and automation using languages such as Python, Shell, PowerShell, or equivalent.- Experience designing and implementing reconciliation rules, workflows, and automated processes.- ...
... hands-on experience with SQL Server, including complex queries, stored procedures, data validation, and performance tuning.- Experience with scripting and automation using languages such as Python, Shell, PowerShell, or equivalent.- Experience designing and implementing reconciliation rules, workflows, and automated processes.- ...
... Online PSB Loans (OPL Innovate) is a digital credit infrastructure and fintech company focused on transforming India's lending ecosystem through technology, automation, and innovation. The company provides an end-to-end digital platform that enables seamless loan processing for MSMEs, retail borrowers, banks, and financial ...
... passionate and analytical Mechanical Engineer eager to work in the fields of 1D simulation , Computational Fluid Dynamics (CFD) , thermal system modelling , and Python-based simulation automation . This role offers hands-on experience in advanced simulation workflows, heat transfer analysis, and software-driven engineering ...
... as prompt engineering, knowledge graphs, and Retrieval-Augmented Generation (RAG).- Exposure to public cloud platforms (AWS, Azure, or GCP). Scripting or automation experience beyond basic file automation (e.g., Python).- Must Have : L1 Application Support, Incident Triaging, OS and Application Fundamentals, Log Analysis ...
... deployment automation, and DevOps practices across production environments Strong knowledge of container technologies including Docker, Kubernetes Proficiency in Python and Shell scripting to enable automation, platform operations, and continuous improvement Experience with monitoring, observability, Site Reliability Engineering ...
... are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and ...
... solve complex business problems and improve operational efficiency. The ideal candidate will have strong expertise in machine learning, artificial intelligence, Python, data processing, model development, and production deployment . You will work closely with engineering, product, and business teams to translate requirements ...
... Familiarity with service mesh, observability stacks (Prometheus, Grafana), and secrets management WHAT YOU BRING ~6+ years in DevOps, Platform Engineering, or Cloud Automation roles Proficiency in Bash, Python, and YAML templating Experience with container security tools and supply chain validation (e.g., Chainguard) Strong understanding ...
... are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. ...
... are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. ...
... implemented for long-term stability. - Serve as the first line of defense for trading operations. - Proactively identify, address recurring issues, and build automation to reduce manual - intervention. - Improve observability by enhancing monitoring, logging, and alerting systems. - Develop and maintain operational runbooks ...
... Mode: Work From OfficeTeam context : We are building a new AI engineering team focused on production-grade LLM integrations, AI-powered workflows, intelligent automation, and integration with an existing Java/Spring backend platform. These roles are hands-on software engineering roles, not primarily ML research roles. The team's ...
... can design, build, and operationalize AI/LLM/Agentic solutions that solve real infrastructure problems: capacity planning, incident response, observability, automation, cost optimization, and resiliency engineering. This is not a pure research role — it's an applied engineering + architecture role for someone who can code, ...